A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks

A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks

This study introduces a framework for the information-theoretic analysis of brain functional connectivity performed at the level of electroencephalogram (EEG) sources. The framework combines the use of common spatial patterns to select the EEG components which maximize the variance between two exper...

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Bibliographic Details
Main Authors: Ivan Kotiuchyi, Riccardo Pernice, Anton Popov, Luca Faes, Volodymyr Kharytonov
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Brain Sciences
Subjects:
epilepsy
information theory
EEG
information storage
information transfer
vector autoregressive modeling
Online Access:https://www.mdpi.com/2076-3425/10/9/657

Internet

https://www.mdpi.com/2076-3425/10/9/657

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